Natalia — CEO & founder
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Natalia
Natalia has spent more than 20 years in tech recruitment, building hiring engines for some of the most demanding employers on the market — from Fortune-500 fintechs to fast-scaling product companies. She designed the system NGRS is built on: an embedded model that re-architects how a company hires so it can carry surge volumes with a wow-effect at every touchpoint.
Beyond running engagements, Natalia is the author of training programmes for hiring managers — turning the patterns from 100+ scaling projects into something a client's own team can use. She's the main entry point for new clients and writes regularly on tech hiring on the NGRS Insights blog.
Outside of work: a freediving champion — practising what the rest of us call "thinking under pressure" at depth, on a single breath.
- 20+ years in tech recruitment
- Author · training for hiring managers
- Freediving champion
- Speaker · tech-hiring forums
The senior team behind every engagement
Small, senior, embedded. The same people who scope the engagement run it.
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[photo · Elena]
Elena
Head of client engagementOwns discovery, briefs and ongoing client communication. Writes regularly on Insights about hiring patterns from the inside.
Read Elena's columns → -
[photo · TBD]
Senior delivery lead
Embedded deliveryRuns the embedded recruitment team on client site — sourcing, candidate experience, offer and onboarding flow.
Columns coming → -
[photo · TBD]
Tech executive search lead
Executive searchSenior search for CTO, VP Engineering and Head of AI roles — including the first-of-kind hires where the spec is still forming.
Columns coming →
More team profiles and photos coming as we publish — every column is written by the practitioner who lived it. — NGRS delivery team
The numbers behind hands-on delivery
Why we keep teams small and senior — and what it changes against the market baseline.
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Speed
2–4 week time-to-fill
NGRS embedded teams ship a shortlist in 2 business days and fill in 2–4 weeks. The US engineering baseline is 62 days, and 89 days for AI/ML roles (SHRM 2025) — embedded recruitment runs up to 40% faster (CIPD 2024).
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Retention
97% 12-month retention
Across 100+ scaling projects, 97% of placed hires are still in seat at twelve months. Embedded models cut agency dependency 25–50% within six months (CIPD 2024) because the same senior team owns quality end to end.
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Specialised supply
30+ active clients, 400+ roles closed
With 110+ consultants and 24–40 sourcers, the team closed 400+ positions in the last 12 months — including compliance and fintech mandates, where AML/KYC postings rose 98% year on year (Ravio 2025) and 47% of financial institutions struggle to find compliance talent.
Self-reported NGRS delivery figures are paired with named third-party benchmarks. Last updated: June 2026.
Latest from the NGRS Insights blog
A different angle from each practitioner — founder's view, client-engagement view, delivery view.
- Founder's column · Natalia
The wow-effect: why retention starts at the first message
The candidate experience built into the funnel is the difference between offers accepted and offers declined.
Coming soon - Client view · Elena
Three clients we couldn't help — and why that's a good thing
Honest stories from briefs we walked away from, and what they teach about fit.
Coming soon - Delivery view
50 engineers in 12 weeks — what we did on day one
A practical breakdown of how an embedded team stands up an engine before it sources its first candidate.
Coming soon
Working with the NGRS team
Who actually runs my engagement — the founder or a junior recruiter?
Discovery is founder-led by Natalia, and the same senior team that scopes the work delivers it. You get a dedicated, embedded team — managers, sales-minded recruiters, researchers, analysts and coordinators — not a single recruiter on a desk elsewhere. Embedded recruitment is up to 40% faster than the traditional agency route (CIPD 2024).
How fast will I see candidates, and will they stay?
NGRS delivers a first shortlist in 2 business days and fills roles in 2–4 weeks, against a US engineering baseline of 62 days and 89 days for AI/ML roles (SHRM 2025). Of the hires we place, 97% are still in seat at twelve months across 100+ scaling projects.
Can the team handle compliance, fintech and hard-to-source roles?
Yes. The team has closed 400+ positions in the last 12 months — including a 400-engineer build for a Fortune-500 fintech over 24 months — and runs executive search for CTO, VP Engineering and Head of AI roles. Demand is real: AML/KYC job postings rose 98% year on year (Ravio 2025) and 47% of financial institutions struggle to find compliance talent. — NGRS delivery team
Talk to Natalia or the team
Discovery is founder-led. If your project fits the embedded model, we'll tell you straight on the first call — and assemble the right senior team for it.